Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- CNRS
- AALTO UNIVERSITY
- Aalborg University
- NTNU - Norwegian University of Science and Technology
- Umeå University
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- University of Primorska
- Aalborg Universitet
- Blekinge Institute of Technology
- Chalmers University of Technology
- Cranfield University
- Curtin University
- Delft University of Technology
- ETH Zürich
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- Institute of Photonic Sciences
- KU LEUVEN
- Luxembourg Institute of Science and Technology
- Monash University
- Pennsylvania State University
- Radboud University
- TU Delft
- University of Amsterdam (UvA)
- University of Bedfordshire
- University of Bergen
- University of Birmingham
- University of Bremen •
- University of Potsdam •
- University of Sheffield;
- University of Twente (UT)
- Uppsala universitet
- VIB
- 27 more »
- « less
-
Field
-
following areas: Virtual, Augmented, and Mixed Reality (VR/AR/MR) Cognitive Modeling and Decision Making Motor Learning Artificial Intelligence and Machine Learning Wearable Technologies and sensors Human
-
following areas: Virtual, Augmented, and Mixed Reality (VR/AR/MR) Cognitive Modeling and Decision Making Motor Learning Artificial Intelligence and Machine Learning Wearable Technologies and sensors Human
-
description Railway bridges and the tracks they support are critical components of the railway network, directly affecting safety, reliability, and operational performance. As railway infrastructure ages and
-
). The work plan includes: . A detailed literature review on boiling flow regimes and their modeling. . The enhancement of the ConBo experimental setup with the integration of a Wire Mesh Sensor (W) to measure
-
-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
-
Build the next generation of railway track health assessment. Job description Railway bridges and the tracks they support are critical components of the railway network, directly affecting safety
-
the HolistIC project , which develops ultra-low-power system-on-chip designs for next-generation intelligent audio IoT sensors. Your Role and Goals As a Doctoral Researcher, you will: Design energy-efficient
-
grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations
-
sensor measurements to embankment responses will be derived and validated using field data. These relationships will provide a framework for translating routinely collected monitoring data into actionable
-
-induced dynamic behaviour. Transfer functions linking LDV, ABA, TG, and wayside sensor measurements to embankment responses will be derived and validated using field data. These relationships will provide a